DocumentCode :
327907
Title :
A framework for detecting and selecting text line candidates of correct orientation
Author :
Goto, Hideaki ; Aso, Hirotomo
Author_Institution :
Educ. Center for Inf. Process., Tohoku Univ., Sendai, Japan
Volume :
2
fYear :
1998
fDate :
16-20 Aug 1998
Firstpage :
1074
Abstract :
Many Japanese documents contain both horizontally and vertically written text lines, and furthermore, those text lines often have local skew. In this paper, we propose a framework for detecting the local orientation of text lines and selecting text line candidates of correct orientation. The orientation detection is independent of text block extraction and has advantage of being applicable to complicated documents. The framework is intended to reduce the text line candidates of incorrect orientation and to improve the performance of document image analysis systems
Keywords :
character recognition; document image processing; feature extraction; English text documents; Japanese text documents; character recognition; document image analysis; text block extraction; text detection; text line orientation; text line selection; word recognition; Character recognition; Data mining; Image analysis; Information processing; Joining processes; Natural languages; Nearest neighbor searches; Shape; Text analysis; Text recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on
Conference_Location :
Brisbane, Qld.
ISSN :
1051-4651
Print_ISBN :
0-8186-8512-3
Type :
conf
DOI :
10.1109/ICPR.1998.711878
Filename :
711878
Link To Document :
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